Dan Butnariu
- Computational Theory and Mathematics top 0.2%
- Numerical Analysis top 0.5%
- Geometry and Topology top 0.5%
- Management Science and Operations Research top 1%
- Statistics and Probability top 1%
- Co-authors
- Alfredo N. IusemSimeon ReichAlexander J. ZaslavskiErich Peter KlementElena ResmeritaYair CensorTomáš KroupaYakov Alber
- Topics
- Optimization and Variational Analysis (28 papers)Advanced Optimization Algorithms Research (19 papers)Fixed Point Theorems Analysis (14 papers)
In The Last Decade
Dan Butnariu
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 1.5k
- Numerical Analysis 887
- Geometry and Topology 872
- Management Science and Operations Research 588
- Statistics and Probability 313
Countries citing papers authored by Dan Butnariu
This map shows the geographic impact of Dan Butnariu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Butnariu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Butnariu more than expected).
Fields of papers citing papers by Dan Butnariu
This network shows the impact of papers produced by Dan Butnariu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Butnariu. The network helps show where Dan Butnariu may publish in the future.
Co-authorship network of co-authors of Dan Butnariu
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Butnariu. A scholar is included among the top collaborators of Dan Butnariu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Butnariu. Dan Butnariu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 41 | |
| 3 | 22 | |
| 4 | There Are Many Totally Convex Functions | 16 |
| 5 | 13 | |
| 6 | Regularization and Resolution of Monotone Variational Inequalities with Operators Given by Hypomonotone Approximations | 7 |
| 7 | 193 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | Inherently parallel algorithms in feasibility and applications | 2 |
| 12 | 53 | |
| 13 | 21 | |
| 14 | 173 | |
| 15 | 7 | |
| 16 | 51 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 57 | |
| 20 | 159 |
About Dan Butnariu
Dan Butnariu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Geometry and Topology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (28 papers), Advanced Optimization Algorithms Research (19 papers) and Fixed Point Theorems Analysis (14 papers). The work is most often cited by research in Numerical Analysis (887 citations), Geometry and Topology (872 citations) and Computational Theory and Mathematics (1.5k citations). Dan Butnariu has collaborated with scholars based in Israel, Austria and Brazil. Frequent co-authors include Alfredo N. Iusem, Simeon Reich, Alexander J. Zaslavski, Erich Peter Klement, Elena Resmerita, Yair Censor, Tomáš Kroupa, Yakov Alber, Ran Davidi and Gábor T. Herman. Their work appears in journals such as European Journal of Operational Research, Fuzzy Sets and Systems and Journal of Mathematical Analysis and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.